Akilah James / Sabastiani Leon - Elizabeth Jurna / Aglaya Zaynieva


    name
    1
    2
    sets
    Akilah James / Sabastiani Leon
    Elizabeth Jurna / Aglaya Zaynieva
    6
    4
    7
    5
    2
    0
    Live Sports Streaming
    0
    Aces
    1
    9
    Double Faults
    5
    17/26 (65%)
    Second Serve
    15/20 (75%)
    41/67 (61%)
    First Serve
    44/64 (69%)
    25/41 (61%)
    First Serve Points
    21/44 (48%)
    7/26 (27%)
    Second Serve Points
    3/20 (15%)
    40
    Receiver points won
    35
    5
    Max points in a row
    3
    72
    Points won
    59
    9/13 (69%)
    Break points
    7/15 (47%)
    Akilah James / Sabastiani Leon vs Elizabeth Jurna / Aglaya Zaynieva Head 2 Head
    James A / Leon S
    versus
    Jurna E / Zaynieva A
    6
    4
    7
    5
    20 Jul 21
    Finished
    Akilah James / Sabastiani Leon Matches
    James A / Leon S
    versus
    Novakova K / Shinde V
    2
    6
    2
    6
    21 Jul 21
    Finished
    James A / Leon S
    versus
    Jurna E / Zaynieva A
    6
    4
    7
    5
    20 Jul 21
    Finished
    Elizabeth Jurna / Aglaya Zaynieva Matches
    James A / Leon S
    versus
    Jurna E / Zaynieva A
    6
    4
    7
    5
    20 Jul 21
    Finished

    You can follow Akilah James / Sabastiani Leon - Elizabeth Jurna / Aglaya Zaynieva live score and live stream here on Scoreaxis.com, along with full match statistics and video highlights (when available). Akilah James / Sabastiani Leon vs Elizabeth Jurna / Aglaya Zaynieva live streaming options are also shown on this page. Akilah James / Sabastiani Leon vs Elizabeth Jurna / Aglaya Zaynieva (2021 ITF Spain 16A, Women Doubles) will kick off at 06:00 on 20 Jul 21.

    The match will be played on synthetic outdoor courts in Melilla, Doubles ().

    Based purely on odds, the predicted winner of the match is Elizabeth Jurna / Aglaya Zaynieva. Our predictions should not be used for betting or gambling on sports and scoreaxis.com accepts no responsibility or liability for any (direct or indirect) financial or other loss that may result from using our statistical data, predictions or any other content present on this website.